Urban change detection using multitemporal ERS-1/2 InSAR data

Jiang, Liming; Liao, Mingsheng; Lin, Hui; Zhao, An

doi:10.1117/12.626983

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…For urban change detection, a similar strategy is applied in Refs. [23][24][25], where backscatter and coherence variations are utilized for the calculation of a two-dimensional (2-D) histogram. This histogram is subsequently used as the input for a thresholding method.…”

Section: Introductionmentioning

confidence: 99%

Practical approach for synthetic aperture radar change analysis in urban environments

Boldt

Thiele

Schulz

et al. 2019

J. Appl. Rem. Sens.

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Change detection using remote sensing imagery is a broad and highly active field of research that has produced many different technical approaches for multiple applications. The majority of these approaches have in common that they do not deliver any detailed information concerning the type, category, or class of the detected changes. With respect to the extraction of such information, recent research often suggests that a land use classification is required. This classification can be accomplished in an unsupervised or supervised way, whereas the practicability of both strategies is more or less limited by the usage of reference or training data. Moreover, expert knowledge is needed to arrive at meaningful land use classes. An approach is presented that overcomes these drawbacks. A time series of synthetic aperture radar amplitude images is considered, enabling the detection of so-called high activity objects in urban environments. Such objects represent the basis of the investigations and denote the input for unsupervised categorization and classification procedures. The method supports even the unexperienced user in learning the actual information content leading to the capability to define a suitable scheme for change classification. Tests carried out on two different datasets suggest that the method is both practical and robust. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 99%

Practical approach for synthetic aperture radar change analysis in urban environments

Boldt

Thiele

Schulz

et al. 2019

J. Appl. Rem. Sens.

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“…After 2001, identifying ground displacement dynamics in urban areas has been supported by high-precision, repeated, and large-scale measurements of ground displacements using InSAR techniques 6 7 8 9 10 . Some of these studies focused on subsidence, which sometimes measured less than 1 mm and was caused by groundwater over-exploitation, or uplift 11 12 13 14 15 .…”

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confidence: 99%

Long-term ground deformation patterns of Bucharest using multi-temporal InSAR and multivariate dynamic analyses: a possible transpressional system?

Armaş

Mendes

Popa

et al. 2017

Sci Rep

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The aim of this exploratory research is to capture spatial evolution patterns in the Bucharest metropolitan area using sets of single polarised synthetic aperture radar (SAR) satellite data and multi-temporal radar interferometry. Three sets of SAR data acquired during the years 1992–2010 from ERS-1/-2 and ENVISAT, and 2011–2014 from TerraSAR-X satellites were used in conjunction with the Small Baseline Subset (SBAS) and persistent scatterers (PS) high-resolution multi-temporal interferometry (InSAR) techniques to provide maps of line-of-sight displacements. The satellite-based remote sensing results were combined with results derived from classical methodologies (i.e., diachronic cartography) and field research to study possible trends in developments over former clay pits, landfill excavation sites, and industrial parks. The ground displacement trend patterns were analysed using several linear and nonlinear models, and techniques. Trends based on the estimated ground displacement are characterised by long-term memory, indicated by low noise Hurst exponents, which in the long-term form interesting attractors. We hypothesize these attractors to be tectonic stress fields generated by transpressional movements.

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Urban change detection using multitemporal ERS-1/2 InSAR data

Cited by 2 publications

References 10 publications

Practical approach for synthetic aperture radar change analysis in urban environments

Practical approach for synthetic aperture radar change analysis in urban environments

Long-term ground deformation patterns of Bucharest using multi-temporal InSAR and multivariate dynamic analyses: a possible transpressional system?

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